Answer:
Step-by-step explanation:
Confidence interval is written as
Sample proportion ± margin of error
a) Margin of error = z × √pq/n
Where
z represents the z score corresponding to the confidence level
p = sample proportion. It also means probability of success
q = probability of failure
q = 1 - p
p = x/n
Where
n represents the number of samples
x represents the number of success
From the information given,
n = 1043
p = 14% = 14/100 = 0.14
q = 1 - 0.14 = 0.86
To determine the z score, we subtract the confidence level from 100% to get α
α = 1 - 0.95 = 0.05
α/2 = 0.05/2 = 0.025
This is the area in each tail. Since we want the area in the middle, it becomes
1 - 0.025 = 0.975
The z score corresponding to the area on the z table is 1.96. Thus, the z score for a confidence level of 95% is 1.96
Therefore, margin of error is 1.96√(0.14)(0.86)/1043
Margin of error = 0.021
b) i) The pollsters are 95% confident that the margin of error contains the true proportion of adults who approve of attempts to clone a human.
c) iv) A 99% confidence interval requires a larger margin of error. In order to increase confidence, the interval must be wider.
d) The z score for 99% confidence interval is 2.58
margin of error is 2.58√(0.14)(0.86)/1043
Margin of error = 0.028
e) smaller samples would produce smaller margins of error.